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HAMR – Beyond MapReduce8.6.2014

Java based Streaming Extensions to Hadoop Released for Public Beta

Newark, DE – August 6, 2014 – Today, ET International, Inc. (ETI) announces that a beta version of HAMR is available for testing. After an extensive period of collaborative R&D and private testing, its big data analytics framework HAMR is now available for market-wide testing by developers and data scientists.

HAMR is a natural and intuitive extension to Hadoop programming paradigms, providing a unified feature-rich framework that is fast, easy to use, and expressive. HAMR’s single programming interface is a breakthrough because it simplifies and streamlines the development process in a way that users of Hadoop as well as other programmers will recognize. HAMR’s runtime uitilizes its patent-pending Flowlets technology to provide performance up to 20X vs. standard Hadoop.

HAMR has been highly optimized so that even the simplest program will experience a significant performance improvement. The framework will automatically tune itself to optimally use the available resources of the system it is running within.

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About ET International

ETI is a big data product company. HAMR provides extensions to Hadoop Big Data 2.0 and enhances Business Intelligence, and Data Discovery. ETI has more than a decade of experience in massively parallel programming research for extreme-scale computing systems for Intel, Department of Defense, IBM, and Department of Energy and is bringing that expertise to the big data market. ETI was founded by Dr. Guang Gao who holds PhDs in computer science as well as electrical engineering from MIT. Dr. Gao is an expert on data flow technologies, an IEEE Fellow, and has published over 250 technical papers.

Media Contact:

Dr. Long Zheng

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